Based on KANO model, this paper studies the acquisition and analysis of personaized needs for refrigerators. Firstly, the current situation of market consumption demand of refrigerator products is briefly analyzed, and the original personalized demand items of refrigerator are obtained by consulting data and crawler data, and these individualized requirements items are grouped by using KJ method. Then, according to the KANO model, the questionnaire is designed and distributed, the collected results are classified and statistically analyzed according to the KANO evaluation table, and then the fuzzy clustering method is used for clustering analysis; Finally, the individualized requirements of refrigerators which need to be customized are screened out. The results show that the requirements items that need to be customized are expected demands (such as compressor structure, power consumption, etc.) and excitatory demands quality (such as key-press mode, control mode, etc.). The requirements items that don’t need to be customized are must-be , indifferent and reverse ones.